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Breiman L, Friedman J, Olshen R, Stone C (1984) Classi cation and regression trees., Wadsworth
advanced topics and softwareCRC Press, Boca Raton
Broadhursta D, Goodacrea R, Ah Jonesa A, Rowlandb JJ, Kelp DB (1997) Genetic algorithms as a
method for variable selection in multiple linear regression and partial least squares regression,
with applications to pyrolysis mass spectrometry. Anal Chim Acta 348:71 - 86
Cavill R, Keun HC, Holmes E, Lindon JC, Nicholson JK, Ebbels TM (2009) Genetic algorithms
for simultaneous variable and sample selection in metabonomics. Bioinformatics 25:112 - 118
Cecotti H, Graeser A (2008) Convolutional neural network with embedded fourier transform for
EEG classification. In: International conference on pattern recognition, Tampa, Florida, pp 1
4
-
Daubechies I (1992) Ten lectures on wavelets. SIAM
De Jong KA (1975) An analysis of the behavior of a class of genetic adaptive systems. PhD thesis,
University of Michigan
Guyon I, Elisseeff A (2003) An introduction to variable and feature selection. J Mach Learn Res
3:1157
1182
Hastie T, Tibshirani R, Friedman J (2009) The elements of statistical learning: data mining,
inference, and prediction, 2nd edn. Springer, Berlin
Hazarika N, Chen J, Tsoi C, Sergejew A (1997) Classi cation of EEG signals using the wavelet
transform. Sig Process 59:61
-
72
Holland JH (1975) Adaptation in natural and arti cial systems. University of Michigan Press, Ann
Arbor
Jacobson E (1974) Biologie des motions. Les bases thoriques de la relaxation
Jaffard S, Meyer Y (1996) Wavelet methods for pointwise regularity and local oscillations of
functions. Mem Amer Math Soc 123(587)
Jasper HH (1958) Report of the committee on methods of clinical examination in electroenceph-
alography. Electroencephalogr Clin Neurophysiol 10:1 - 370
L é Cao K-A, Rossouw D, Robert-Grani é C, Besse P (2008) Sparse PLS: variable selection when
integrating omics data. Stat Appl Genet Mol Biol 7(Article 35)
Legrand P (2004) D é bruitage et interpolation par analyse de la r é gularit é H ö ld é rienne. Application
à la mod é lisation du frottement pneumatique-chauss é e. PhD thesis, É cole Centrale de Nantes et
Universit é de Nantes
Levy Vehel J, Legrand P (2004) Signal and image processing with FracLab. In: Proceedings of 8th
international multidisciplinary conference on complexity and fractals in nature
Levy Vehel J, Seuret S (2004) The 2-microlocal formalism. Fractal geometry and applications: a
jubilee of benoit mandelbrot. In: Proceedings of symposia in pure mathematics, PSPUM, vol
72, pp 153
-
215
Lin Y-P, Wang C-H, Jung T-P, Wu T-L, Jeng S-K, Duann J-R, Chen J-H (2010) Eeg-based
emotion recognition in music listening. IEEE Trans Biomed Eng 57(7):1798
-
1806
-
Mallat S (2008) A wavelet tour of signal processing, 3rd edn. Academic Press
Naitoh P, Johnson LC, Lubin A (1971) Modification of surface negative slow potential (CNV) in
the human brain after total sleep loss. Electroencephalogr Clin Neurophysiol 30:17
22
Niedermeyer E, Lopes da Silva F (2005) Electroencephalography, basic principles, clinical
applications and related fields, 5th edn.
Obermaier B, Guger C, Neuper C, Pfurtscheller G (2001) Hidden markov models for online
classi cation of single trial EEG data. Pattern Recogn Lett 22:1299
-
1309
Rosenblith W (1959) Some quanti able aspects of the electrical activity of the nervous system
(with emphasis upon responses to sensory stimuli). Rev Mod Physics 31:532
-
545
-
Schultz JH (1958) Le training autogne. PUF
Subasi A, Akin M, Kiymik K, Erogul O (2005) Automatic recognition of vigilance state by using a
wavelet-based arti cial neural network. Neural Comput Appl 14:45
55
Tecce JJ (1979) A CNV rebound effect. Electroencephalogr Clin Neurophysiol 46:546
-
-
551
Tenenhaus M (1998) La r é gression PLS, Th é orie et Pratique
Timsit-Berthier M, Gerono A, Mantanus H (1981) Inversion de polarit é de la variation contingente
n é gative au cours d tat d ' endormissement. EEG Neurophysiol 11:82 - 88
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